Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved]
Neonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life. It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005,...
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F1000 Research Ltd
2021-08-01
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Online Access: | https://gatesopenresearch.org/articles/5-122/v1 |
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author | Fyezah Jehan Shiyam Sunder Tikmani Shahira Shahid Anita K.M. Zaidi Nick Brown Muhammad Imran Nisar |
author_facet | Fyezah Jehan Shiyam Sunder Tikmani Shahira Shahid Anita K.M. Zaidi Nick Brown Muhammad Imran Nisar |
author_sort | Fyezah Jehan |
collection | DOAJ |
description | Neonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life. It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005, a multi country trial called the Young Infant Clinical Signs Study (YICSS) was conducted in seven sites across three South-Asian (Bangladesh, India, and Pakistan), two African (Ghana, and South Africa), and one South American (Bolivia) country. The study aimed to develop a simplified algorithm to be used by primary healthcare workers for the identification of sick young infants needing prompt referral and treatment. The main study enrolled 8,889 young infants between the ages of 0-59 days old. This dataset contains observations on 2950 young infants aged 0-59 days from the Pakistan site. The data was collected between 2003-2004 with information on the most prevalent signs and symptoms. The data from this study was used to update the Integrated Management of Childhood Illness guidelines. The World Health Organisation (WHO) seven-sign algorithm has been used in other major community-based trials to study possible serious bacterial infection and its treatment regimens. |
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format | Article |
id | doaj.art-86ee6129e1b440b8b51f26ef516f98f0 |
institution | Directory Open Access Journal |
issn | 2572-4754 |
language | English |
last_indexed | 2024-04-24T22:26:11Z |
publishDate | 2021-08-01 |
publisher | F1000 Research Ltd |
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series | Gates Open Research |
spelling | doaj.art-86ee6129e1b440b8b51f26ef516f98f02024-03-20T01:00:01ZengF1000 Research LtdGates Open Research2572-47542021-08-01514560Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved]Fyezah Jehan0https://orcid.org/0000-0002-5874-4358Shiyam Sunder Tikmani1Shahira Shahid2https://orcid.org/0000-0003-0827-0518Anita K.M. Zaidi3Nick Brown4Muhammad Imran Nisar5https://orcid.org/0000-0002-2378-4720Department of Pediatrics and Child Health, Aga khan University, Karachi, PakistanDepartment of Community Health Sciences, Aga Khan University, Karachi, PakistanDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanUppsala University Hospital, Sweden, SwedenDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanNeonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life. It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005, a multi country trial called the Young Infant Clinical Signs Study (YICSS) was conducted in seven sites across three South-Asian (Bangladesh, India, and Pakistan), two African (Ghana, and South Africa), and one South American (Bolivia) country. The study aimed to develop a simplified algorithm to be used by primary healthcare workers for the identification of sick young infants needing prompt referral and treatment. The main study enrolled 8,889 young infants between the ages of 0-59 days old. This dataset contains observations on 2950 young infants aged 0-59 days from the Pakistan site. The data was collected between 2003-2004 with information on the most prevalent signs and symptoms. The data from this study was used to update the Integrated Management of Childhood Illness guidelines. The World Health Organisation (WHO) seven-sign algorithm has been used in other major community-based trials to study possible serious bacterial infection and its treatment regimens.https://gatesopenresearch.org/articles/5-122/v1young infants clinical signs severe illness requiring hospitalization Pakistan communityeng |
spellingShingle | Fyezah Jehan Shiyam Sunder Tikmani Shahira Shahid Anita K.M. Zaidi Nick Brown Muhammad Imran Nisar Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] Gates Open Research young infants clinical signs severe illness requiring hospitalization Pakistan community eng |
title | Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] |
title_full | Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] |
title_fullStr | Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] |
title_full_unstemmed | Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] |
title_short | Young infant clinical signs study, Pakistan: a data note [version 1; peer review: 2 approved] |
title_sort | young infant clinical signs study pakistan a data note version 1 peer review 2 approved |
topic | young infants clinical signs severe illness requiring hospitalization Pakistan community eng |
url | https://gatesopenresearch.org/articles/5-122/v1 |
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